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All Journal Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Airin Dewi Utami Thamrin
Politeknik Negeri Ujung Pandang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering

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Karakterisasi dan Kalibrasi Sensor PIR Serta Ultrasonik HY-SRF05 pada Sistem Deteksi Objek Dua Tahap Berbasis Wemos D1 R32 Airin Dewi Utami Thamrin; Farchia Ulfiah
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Juli : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1599

Abstract

Two-stage object detection that combines a passive infrared sensor with an ultrasonic ranging sensor is widely adopted in low-cost room security devices, yet most published prototypes report only functional success without characterising the metrological behaviour of each sensing stage. This study characterises and calibrates the sensing subsystem of a room monitoring prototype built around a Wemos D1 R32 microcontroller, an HC-SR501 passive infrared sensor, an HY-SRF05 ultrasonic sensor, an SG90 servo motor, and an active buzzer. An experimental quantitative approach was applied: motion detection was tested at six standoff distances up to 240 cm, ultrasonic ranging was compared against a reference ruler at five distances from 20 cm to 100 cm, and the servo sweep period was measured over five replications. Percentage error, ordinary least squares regression, and descriptive statistics were used in the analysis. The passive infrared stage detected motion consistently up to 200 cm and failed at 240 cm, while the buzzer responded within 1.30 s to 2.64 s. The ultrasonic stage produced a mean relative error of 1.16%, dominated by a fixed positive offset of 0.96 cm; a two-parameter linear calibration with a coefficient of determination of 0.9999 lowered the mean relative error to 0.47%. The servo completed a 360 degree round sweep in 5.446 s, matching the blocking delay budget of the firmware. The findings demonstrate that detection latency is governed by firmware architecture rather than sensor physics, and that a simple linear calibration substantially improves ranging accuracy.
Analisis Latensi dan Keandalan Notifikasi Visual Berbasis ESP32-CAM dan Telegram Bot API untuk Monitoring Keamanan Ruangan Sufianti Munirman; Riesa Krisna Astuti Sakir; Nurfitri Nurfitri; Airin Dewi Utami Thamrin; Nining Satriani
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Juli : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1600

Abstract

Instant messaging platforms are increasingly used as notification channels for low-cost Internet Of Things security devices, yet the end-to-end latency of such channels is rarely measured and almost never decomposed into its constituent stages. This study analyses the latency and reliability of a visual notification channel that couples an ESP32-CAM module with the Telegram Bot API in a room monitoring prototype controlled by a Wemos D1 R32. An experimental quantitative approach was used. Image capture was triggered by an ultrasonic proximity threshold of 100 cm and tested at six object distances from 20 cm to 120 cm; the interval between triggering and the appearance of the photograph in the recipient chat was recorded. Descriptive statistics, coefficient of variation, Pearson correlation, and an analytical latency budget derived from the firmware structure were used for analysis. All triggers inside the threshold zone produced a successfully delivered photograph and an accompanying distance message, giving a delivery success rate of one hundred percent, whereas the object at 120 cm correctly produced no transmission. End-to-end latency ranged from 6.03 s to 10.45 s with a mean of 8.09 s, a standard deviation of 1.80 s, and a coefficient of variation of 22.3%. The correlation between latency and object distance was weak and statistically insignificant, confirming that latency is dominated by the secure transport layer and the image payload rather than by the sensing stage. Reducing the capture resolution and reusing the secure session are recommended as the most effective optimisation measures.
Co-Authors Farchia Ulfiah Nining Satriani Nurfitri Nurfitri Riesa Krisna Astuti Sakir Sufianti Munirman